729 research outputs found

    COFS 3: Multibody dynamics and control technology

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    COFS 3 is the third project within the Control of Flexible Structures (COFS) program. It deals with developing multibody dynamics and control technology for large space structures. It differs from COFS 1 and 2 in two respects. First, it addresses a more complex class of structure, and second it is basically a scale model ground test and analysis program while COFS 1 and 2 feature Shuttle flight experiments. The specific technology thrusts within COFS 3 are model sensitivities, test methods, analysis validation, systems identification, and vibration suppression. The COFS 3 project will develop the methods for using dynamically scaled models and analysis to predict the structural dynamics of large space structures. The project uses the space station as a focus because it is typical of the structures of interest and provides the first opportunity to obtain full-scale on-orbit dynamics data

    Mary Spillwater

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    A Descriptive-Correlational Study Exploring Post-Secondary Student Tracks Chosen by Learners with High Spatial Ability

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    People that process though using pictures rather than words have difficulty in school. Previous research has shown that characteristics of Spatial Learners, or people that process thought spatially, by thinking in pictures rather than words, have poor spelling, are less likely to graduate high school, have a lower grade average, are likely male, don\u27t read instructions carefully, are late bloomers, have a bedroom that is disorganized, lose track of time and have difficulty memorizing words. Many of history\u27s great problem solvers are believed to be highly spatial people. It is theorized that the majority of highly spatial learners are not as likely to enter post-secondary education as a degree earners but instead as a Career Technical Education (CTE) student because traditional education is not oriented toward their style of learning. The objective of this research was to see if there is a relationship to spatial learners and the learning track they pursue. A survey was developed asking students in general education classes and CTE classes if they have the traits that have been identified as a person with spatial strengths. The student also completed a spatial test to measure their spatial ability. The results indicated little relationship between general education vs. technical and spatial ability. There was also no relationship between spatial ability and the known traits previously associated with highly spatial people. Unfortunately, this leaves the spatial test used in the research questionable and likely not viable. Since little relationship was measured between any of the data, it suggests that the research should be repeated using a different tool to measure spatial ability; perhaps from the Elliot Spatial Test Collection at the University of Akron. Previous research indicated relationships between people with high spatial abilities and certain behaviors that could not be duplicated with this survey. If the spatial evaluation tool cannot show a relationship between the known behaviors of highly spatial people, it brings its validity into question. The question of if there are larger groups of highly spatial learners in different learning tracks remains unanswered by this work

    A Search for Understanding Why Male, Long Term High School Dropouts Resist Returning to Complete a Secondary Credential

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    Much of the resistance for returning to education seems to be related to the same reasons students left school to begin with. The reason for dropping out and resisting to return to school may be a result of too much emphasis on academic preparation and too little emphasis on satisfying the perceived needs for preparing a youth for adulthood. Four themes emerged from the field-note based interviews: (1) all students do not learn the same way, (2) there is a need for more participatory learning, (3) learning should be relevant to life as perceived by the student, and (4) there is a dislike of computer content that is not supported by personal instruction. While these themes are supportive of past research efforts and may not seem remarkable, the solutions offered by the participants to improve these problems are worthy of consideration, and may be of use to both secondary and adult education

    COFS 3 multibody dynamics and control technology

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    One of the results from the model definition study showed that the maximum scale factor for a replica model is .25. This is dictated by the fixed dimensions of the Large Spacecraft Lab. Replica scaling laws were applied to simplified theoretical models of joints and the joint/tube/joint system. The practical interpretation of the results for the specific Space Station configuration under study yielded a number of conclusions which are briefly discussed. Detailed suspension analyses were conducted to evaluate the ability of the suspended scale model to emulate the dynamic behavior of the free-free Space Station. The results indicated only a slight preference for smaller scales. A candidate erectable Space Station joint was fabricated at full scale, 1/4 scale and 1/3 scale in order to assess the comparability of the scaled joints to the full scale behavior. Another important question discussed is how well the inherent damping characteristics of the scaled joints compare to those of the full scale joint. The preliminary definition study yielded three separate scale factor recommendations for the scale model

    Second-generation p-values: improved rigor, reproducibility, & transparency in statistical analyses

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    Verifying that a statistically significant result is scientifically meaningful is not only good scientific practice, it is a natural way to control the Type I error rate. Here we introduce a novel extension of the p-value - a second-generation p-value - that formally accounts for scientific relevance and leverages this natural Type I Error control. The approach relies on a pre-specified interval null hypothesis that represents the collection of effect sizes that are scientifically uninteresting or are practically null. The second-generation p-value is the proportion of data-supported hypotheses that are also null hypotheses. As such, second-generation p-values indicate when the data are compatible with null hypotheses, or with alternative hypotheses, or when the data are inconclusive. Moreover, second-generation p-values provide a proper scientific adjustment for multiple comparisons and reduce false discovery rates. This is an advance for environments rich in data, where traditional p-value adjustments are needlessly punitive. Second-generation p-values promote transparency, rigor and reproducibility of scientific results by a priori specifying which candidate hypotheses are practically meaningful and by providing a more reliable statistical summary of when the data are compatible with alternative or null hypotheses.Comment: 29 pages, 29 page Supplemen

    The Risk-Return Attributes of International Real Estate Equities

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    This paper examines the risk and return attributes of international real estate equities over the 1980-1988 time period. The empirical results indicate that international real estate equities offer higher returns as well as greater total and systematic risk than U.S.-based REITs. The results also indicate that international real estate equities are weakly positively correlated with the return on REITs. International real estate equities achieve higher values for both the Treynor and Jensen measures than either the S&P 500 Index or the World Equities Index. International real estate equities also outperform domestic real estate companies on a risk-adjusted basis. However, international real estate equities underperform the World Equities Index using the Sharpe Index which suggests that international real estate equities carry significant unsystematic risk.

    An EPIIC Vision to Evolve Project Integration, Innovation, and Collaboration with Broad Impact for How NASA Executes Complex Projects

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    Evolving Project Integration, Innovation, and Collaboration (EPIIC) is a vision defined to transform the way projects manage information to support real-time decisions, capture best practices and lessons learned, perform assessments, and manage risk across a portfolio of projects. The foundational project management needs for data and information will be revolutionized through innovations on how we manage and access that data, implement configuration control, and certify compliance. The embedded intelligence of new interactive data interfaces integrate technical and programmatic data such that near real time analytics can be accomplished to more efficiently and accurately complete systems engineering and project management tasks. The system-wide data analytics that are integrated into customized data interfaces allows the growing team of engineers and managers required to develop and implement major NASA missions the ability to access authoritative source(s) of system information while greatly reducing the labor required to complete system assessments. This would allow, for example, much of what is accomplished in a scheduled design review to take place as needed, between any team members, at any time. An intelligent data interface that rigorously integrates systems engineering and project management information in near real time can provide substantially greater insight for systems engineers, project managers, and the large diverse teams required to complete a complex project. System engineers, programmatic personnel (those who focus on cost, schedule, and risk), the technical engineering disciplines, and project management can realize immediate benefit from the shared vision described herein. Implementation of the vision also enables significant improvements in the performance of the engineered system being developed
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